Comparative study on fuel saving potential of series-parallel hybrid transmission and series hybrid transmission
X Xu, J Zhao, J Zhao, K Shi, P Dong, S Wang… - Energy Conversion and …, 2022 - Elsevier
The series hybrid transmission (SHT) and series-parallel hybrid transmission (SPHT) have
become an important development direction in the field of hybrid electric vehicles (HEVs) in …
become an important development direction in the field of hybrid electric vehicles (HEVs) in …
Battery health-aware and naturalistic data-driven energy management for hybrid electric bus based on TD3 deep reinforcement learning algorithm
Energy management is critical to reduce energy consumption and extend the service life of
hybrid power systems. This article proposes an energy management strategy based on …
hybrid power systems. This article proposes an energy management strategy based on …
Longevity-aware energy management for fuel cell hybrid electric bus based on a novel proximal policy optimization deep reinforcement learning framework
R Huang, H He, X Zhao, M Gao - Journal of Power Sources, 2023 - Elsevier
With the prosperity of artificial intelligence and new energy vehicles, energy-saving
technologies for zero-emission fuel cell hybrid electric vehicles through high-efficient deep …
technologies for zero-emission fuel cell hybrid electric vehicles through high-efficient deep …
Adaptive ECMS with gear shift control by grey wolf optimization algorithm and neural network for plug-in hybrid electric buses
The plug-in hybrid electric bus (PHEB) is an important means of public transportation. For
PHEB, this article proposes an energy management strategy that considers both gear shift …
PHEB, this article proposes an energy management strategy that considers both gear shift …
Energy management strategy on a parallel mild hybrid electric vehicle based on breadth first search algorithm
L Hao, Y Wang, Y Bai, Q Zhou - Energy Conversion and Management, 2021 - Elsevier
Global optimization plays an important role in the energy management strategies (EMS) of
the hybrid electric vehicles (HEV). The fuel consumption of HEV could be reduced …
the hybrid electric vehicles (HEV). The fuel consumption of HEV could be reduced …
Deep reinforcement learning based energymanagement strategy considering running costs and energy source aging for fuel cell hybrid electric vehicle
Y Huang, Z Kang, X Mao, H Hu, J Tan, D Xuan - Energy, 2023 - Elsevier
The main contribution of this study is to integrate energy source aging and running costs into
the deep reinforcement learning (DRL) based EMS of fuel cell hybrid electric vehicles …
the deep reinforcement learning (DRL) based EMS of fuel cell hybrid electric vehicles …
Performance evaluation and energy management of an automobile exhaust thermoelectric generator for ISG mild HEV application
R Quan, D Liu, X Li, Y Chang, H Wan - Applied Thermal Engineering, 2024 - Elsevier
Application of automobile exhaust thermoelectric generator (AETEG) has certain impact on
the fuel economy of vehicle, and to further improve the fuel-saving performance of the …
the fuel economy of vehicle, and to further improve the fuel-saving performance of the …
Improved multi-dimensional dynamic programming energy management strategy for a vehicle power-split hybrid powertrain
S Bao, P Sun, J Zhu, Q Ji, J Liu - Energy, 2022 - Elsevier
Dynamic programming is a widely used algorithm to solve the optimal control problem for
hybrid electric vehicle in the whole driving scenario, but the problems of interpolation error …
hybrid electric vehicle in the whole driving scenario, but the problems of interpolation error …
Integrated energy and thermal management strategy for extended range electric vehicle based on battery temperature and state-of-charge global planning
Y Yu, J Jiang, H Min, Z Zhang, W Sun, Q Cao - Energy Conversion and …, 2023 - Elsevier
There is a coupling relationship between energy and thermal management of extended
range electric vehicle (EREV), so developing an integrated energy and thermal …
range electric vehicle (EREV), so developing an integrated energy and thermal …
Adaptive ECMS based on EF optimization by model predictive control for plug-in hybrid electric buses
The plug-in hybrid electric bus (PHEB) is a relatively common new energy bus for urban use.
In this article, to achieve the purpose of adaptive real-time optimization for fuel economy, a …
In this article, to achieve the purpose of adaptive real-time optimization for fuel economy, a …